Abstract
We evaluate ConocoPhillips prediction models with Multi-Task Learning (ML) and Independent T-Test1,2,3,4 and conclude that the COP stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Sell COP stock.
Keywords: COP, ConocoPhillips, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- What are the most successful trading algorithms?
- What is the use of Markov decision process?
- Stock Rating

COP Target Price Prediction Modeling Methodology
We consider ConocoPhillips Stock Decision Process with Independent T-Test where A is the set of discrete actions of COP stock holders, F is the set of discrete states, P : S × F × S → R is the transition probability distribution, R : S × F → R is the reaction function, and γ ∈ [0, 1] is a move factor for expectation.1,2,3,4
F(Independent T-Test)5,6,7= X R(Multi-Task Learning (ML)) X S(n):→ (n+8 weeks)
n:Time series to forecast
p:Price signals of COP stock
j:Nash equilibria
k:Dominated move
a:Best response for target price
For further technical information as per how our model work we invite you to visit the article below:
How do AC Investment Research machine learning (predictive) algorithms actually work?
COP Stock Forecast (Buy or Sell) for (n+8 weeks)
Sample Set: Neural NetworkStock/Index: COP ConocoPhillips
Time series to forecast n: 03 Sep 2022 for (n+8 weeks)
According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Sell COP stock.
X axis: *Likelihood% (The higher the percentage value, the more likely the event will occur.)
Y axis: *Potential Impact% (The higher the percentage value, the more likely the price will deviate.)
Z axis (Yellow to Green): *Technical Analysis%
Conclusions
ConocoPhillips assigned short-term Ba3 & long-term B1 forecasted stock rating. We evaluate the prediction models Multi-Task Learning (ML) with Independent T-Test1,2,3,4 and conclude that the COP stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Sell COP stock.
Financial State Forecast for COP Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba3 | B1 |
Operational Risk | 66 | 40 |
Market Risk | 53 | 87 |
Technical Analysis | 84 | 35 |
Fundamental Analysis | 61 | 84 |
Risk Unsystematic | 52 | 40 |
Prediction Confidence Score
References
- Wager S, Athey S. 2017. Estimation and inference of heterogeneous treatment effects using random forests. J. Am. Stat. Assoc. 113:1228–42
- Meinshausen N. 2007. Relaxed lasso. Comput. Stat. Data Anal. 52:374–93
- V. Borkar and R. Jain. Risk-constrained Markov decision processes. IEEE Transaction on Automatic Control, 2014
- Tibshirani R, Hastie T. 1987. Local likelihood estimation. J. Am. Stat. Assoc. 82:559–67
- V. Borkar. An actor-critic algorithm for constrained Markov decision processes. Systems & Control Letters, 54(3):207–213, 2005.
- Künzel S, Sekhon J, Bickel P, Yu B. 2017. Meta-learners for estimating heterogeneous treatment effects using machine learning. arXiv:1706.03461 [math.ST]
- Bai J. 2003. Inferential theory for factor models of large dimensions. Econometrica 71:135–71
Frequently Asked Questions
Q: What is the prediction methodology for COP stock?A: COP stock prediction methodology: We evaluate the prediction models Multi-Task Learning (ML) and Independent T-Test
Q: Is COP stock a buy or sell?
A: The dominant strategy among neural network is to Sell COP Stock.
Q: Is ConocoPhillips stock a good investment?
A: The consensus rating for ConocoPhillips is Sell and assigned short-term Ba3 & long-term B1 forecasted stock rating.
Q: What is the consensus rating of COP stock?
A: The consensus rating for COP is Sell.
Q: What is the prediction period for COP stock?
A: The prediction period for COP is (n+8 weeks)